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A Split-Plot Design with Wholeplot Treatments in an Incomplete Block Design

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Linear Statistical Inference

Part of the book series: Lecture Notes in Statistics ((LNS,volume 35))

Abstract

An incomplete split-plot design, where levels of one factor (say A) are applied to the wholeplots and levels of the other (say B) to subplots, and where the number of wholeplots in each block may be less than the number of levels of factor A, is considered. The m levels of factor A are arranged in a proper incomplete block design. The h levels of factor B are arranged in a randomized complete block design within each level of factor A, by considering the wholeplots as blocks.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematical and Statistical Methods, Academy of Agriculture, Poznań, Poland

    S. Mejza

Authors
  1. S. Mejza
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Editor information

Editors and Affiliations

  1. Mathematical Institute, Polish Academy of Sciences, ul. Kopernika 18, 51-617, Wroclaw, Poland

    T. Caliński  & W. Klonecki  & 

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© 1985 Springer-Verlag Berlin Heidelberg

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Mejza, S. (1985). A Split-Plot Design with Wholeplot Treatments in an Incomplete Block Design. In: Caliński, T., Klonecki, W. (eds) Linear Statistical Inference. Lecture Notes in Statistics, vol 35. Springer, New York, NY. https://doi.org/10.1007/978-1-4615-7353-1_17

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  • DOI: https://doi.org/10.1007/978-1-4615-7353-1_17

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96255-9

  • Online ISBN: 978-1-4615-7353-1

  • eBook Packages: Springer Book Archive

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